Yuanzhe Chen

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #30,327 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 26 citations into it; #18,614 of 21,575 by trust here, #15,955 by citations
• Natural Language Processing — 13 citations into it

Whom Yuanzhe Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Peter D. Grünwald
2. Sergey Ioffe
3. John T. Stasko
4. Eric Brill
5. Anand Rajaraman
6. Saket Navlakha
7. Robert C. Moore
8. Jeffrey D. Ullman
9. Catherine Plaisant
10. Rajeev Rastogi

Who trusts Yuanzhe Chen overall

1. Yao Ming
2. Panpan Xu
3. Huamin Qu

Papers from Yuanzhe Chen's perspective

Ordered by how strongly the researchers Yuanzhe Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Visualizing and Understanding Convolutional Networks

Their papers

• Understanding Hidden Memories of Recurrent Neural Networks (2017) — 223 citations
• Sequence Synopsis: Optimize Visual Summary of Temporal Event Data (2018) — 105 citations